rmontanana/Platform
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Separate commands from modules in folders

Browse Source
This commit is contained in:
Ricardo Montañana Gómez
2024-01-10 12:31:22 +01:00
parent d145e71909
commit 6660e8b6ce
50 changed files with 87 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
tests/CMakeLists.txt
View File

@@ -7,7 +7,7 @@ if(ENABLE_TESTING)
${Platform_SOURCE_DIR}/lib/Files
${CMAKE_BINARY_DIR}/configured_files/include
)
set(TEST_SOURCES_PLATFORM TestUtils.cc)
set(TEST_SOURCES_PLATFORM TestUtils.cc TestPlatform.cc)
add_executable(${TEST_PLATFORM} ${TEST_SOURCES_PLATFORM})
target_link_libraries(${TEST_PLATFORM} PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp Catch2::Catch2WithMain)
add_test(NAME ${TEST_PLATFORM} COMMAND ${TEST_PLATFORM})

70
tests/TestPlatform.cc Normal file
View File

@@ -0,0 +1,70 @@
#define CATCH_CONFIG_MAIN // This tells Catch to provide a main() - only do
#include <catch2/catch_test_macros.hpp>
#include <catch2/catch_approx.hpp>
#include <catch2/generators/catch_generators.hpp>
#include <vector>
#include <map>
#include <string>
#include "TestUtils.h"
TEST_CASE("Test Python Classifiers score", "[PyClassifiers]")
{
map <pair<std::string, std::string>, float> scores = {
// Diabetes
{{"diabetes", "STree"}, 0.81641}, {{"diabetes", "ODTE"}, 0.84635}, {{"diabetes", "SVC"}, 0.76823}, {{"diabetes", "RandomForest"}, 1.0},
// Ecoli
{{"ecoli", "STree"}, 0.8125}, {{"ecoli", "ODTE"}, 0.84821}, {{"ecoli", "SVC"}, 0.89583}, {{"ecoli", "RandomForest"}, 1.0},
// Glass
{{"glass", "STree"}, 0.57009}, {{"glass", "ODTE"}, 0.77103}, {{"glass", "SVC"}, 0.35514}, {{"glass", "RandomForest"}, 1.0},
// Iris
{{"iris", "STree"}, 0.99333}, {{"iris", "ODTE"}, 0.98667}, {{"iris", "SVC"}, 0.97333}, {{"iris", "RandomForest"}, 1.0},
};
std::string file_name = GENERATE("glass", "iris", "ecoli", "diabetes");
auto raw = RawDatasets(file_name, false);
SECTION("Test STree classifier (" + file_name + ")")
{
auto clf = pywrap::STree();
clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
auto score = clf.score(raw.Xt, raw.yt);
REQUIRE(score == Catch::Approx(scores[{file_name, "STree"}]).epsilon(raw.epsilon));
}
SECTION("Test ODTE classifier (" + file_name + ")")
{
auto clf = pywrap::ODTE();
clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
auto score = clf.score(raw.Xt, raw.yt);
REQUIRE(score == Catch::Approx(scores[{file_name, "ODTE"}]).epsilon(raw.epsilon));
}
SECTION("Test SVC classifier (" + file_name + ")")
{
auto clf = pywrap::SVC();
clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
auto score = clf.score(raw.Xt, raw.yt);
REQUIRE(score == Catch::Approx(scores[{file_name, "SVC"}]).epsilon(raw.epsilon));
}
SECTION("Test RandomForest classifier (" + file_name + ")")
{
auto clf = pywrap::RandomForest();
clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
auto score = clf.score(raw.Xt, raw.yt);
REQUIRE(score == Catch::Approx(scores[{file_name, "RandomForest"}]).epsilon(raw.epsilon));
}
}
TEST_CASE("Classifiers features", "[PyClassifiers]")
{
auto raw = RawDatasets("iris", true);
auto clf = pywrap::STree();
clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
REQUIRE(clf.getNumberOfNodes() == 3);
REQUIRE(clf.getNumberOfEdges() == 2);
}
TEST_CASE("Get num features & num edges", "[PyClassifiers]")
{
auto raw = RawDatasets("iris", true);
auto clf = pywrap::ODTE();
clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
REQUIRE(clf.getNumberOfNodes() == 10);
REQUIRE(clf.getNumberOfEdges() == 10);
}